QTL detection and candidate gene identification for prostrate growth habit in interspecific crosses of wild chrysanthemum (Chrysanthemum yantaiense × C. indicum)

Dawei Li , Yuxian Xu , Tongjun Zhou , Yuchao Tang , Hai Li , Ziyu Guo , Yilin Liang , Yuxin Wang , Yuyuan Chen , Ming Sun , Xuehao Fu

Horticulture Research ›› 2025, Vol. 12 ›› Issue (8) : 129

PDF (1920KB)
Horticulture Research ›› 2025, Vol. 12 ›› Issue (8) :129 DOI: 10.1093/hr/uhaf129
Articles
research-article
QTL detection and candidate gene identification for prostrate growth habit in interspecific crosses of wild chrysanthemum (Chrysanthemum yantaiense × C. indicum)
Author information +
History +
PDF (1920KB)

Abstract

The prostrate growth habit is an important ornamental trait in ground-cover chrysanthemum, offering high aesthetic value, strong lodging resistance, and excellent landscape greening capability. However, the genetic basis underlying this trait in chrysanthemum remains largely unclear. In this study, we utilized the prostrate-type Chrysanthemum yantaiense (tetraploid), the erect-type C. indicum (tetraploid), and their 199 F1 hybrid progenies to construct a high-density genetic linkage map through genotyping-by-sequencing. The biparental linkage maps included 4614 and 5180 SNP markers, with an average marker distance of 0.84 and 0.73 cM, respectively. After four years of phenotypic evaluation and one year of dynamic trait measurement in progenies for traits related to prostrate growth habit, we confirmed a stable quantitative trait locus (QTL) located on LG1-1 among co-localized QTLs using KASP markers. This QTL explained up to 20.13% of the phenotypic variation. As a result, a total of 44 genes were identified as candidate due to their tightly linkage with the peak QTL marker, Tag16173. Further phytohormone measurement, gene expression analysis, and transgenic studies confirmed that one of these candidates, the D type cyclin-encoding gene CyCYCD3;1, played a key role in the formation of prostrate growth habit in C. yantaiense. Our results not only enhance the understanding of the molecular mechanisms behind prostrate growth habit but also provide valuable molecular markers for improving plant architecture-related traits in chrysanthemum breeding.

Cite this article

Download citation ▾
Dawei Li, Yuxian Xu, Tongjun Zhou, Yuchao Tang, Hai Li, Ziyu Guo, Yilin Liang, Yuxin Wang, Yuyuan Chen, Ming Sun, Xuehao Fu. QTL detection and candidate gene identification for prostrate growth habit in interspecific crosses of wild chrysanthemum (Chrysanthemum yantaiense × C. indicum). Horticulture Research, 2025, 12(8): 129 DOI:10.1093/hr/uhaf129

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgments

This study was supported by the Science and Technology Innovation Program of Xiongan New Area (2022XAGG0100) and the National Natural Science Foundation of China (32271947).

Author contributions

D.W.L. and M.S. conceived and designed the project. M.S. and X.H.F. provided guidance for experimental design. D.W.L., Y.X.X., T.J.Z., H.L., and Y.Y.C. collected all materials and phenotypic data. D.W.L. constructed the genetic map. D.W.L. performed functional gene verification with assistance of Y.X.X., Y.L.L., Y.X.W., and Z.Y.G., D.W.L., and Y.X.X. performed the data analysis. D.W.L. and X.H.F. wrote the manuscript. M.S., X.H.F., and Y.C.T. revised and finalized the manuscript. All authors approved the manuscript before submission.

Data availability

All the data can be found in the main text or the supplements. The raw sequencing data of the population reported in this paper have been deposited in the NCBI BioProject under accession number PRJNA1214410.

Conflict of interest statement

The authors declare no conflict of interests.

Supplementary data

Supplementary data is available at Horticulture Research online.

References

[1]

Li P, Wang Y, Qian Q. et al. LAZY1 controls rice shoot gravitropism through regulating polar auxin transport. Cell Res. 2007; 17: 402-10

[2]

Guo W, Chen L, Herrera-Estrella L. et al. Altering plant archi-tecture to improve performance and resistance. Trends Plant Sci. 2020; 25:1154-70

[3]

Pierik R, Fankhauser C, Strader LC. et al. Architecture and plas-ticity: optimizing plant performance in dynamic environments. Plant Physiol. 2021; 187:1029-32

[4]

Tan L, Li X, Liu F. et al. Control of a key transition from prostrate to erect growth in rice domestication. Nat Genet. 2008; 40:1360-4

[5]

Kuczy ńska A, Surma M, Adamski T. et al. Effects of the semi-dwarfing sdw1/denso gene in barley. J Appl Genet. 2013; 54:381-90

[6]

Pan J, Zhou X, Ahmad N. et al. BSA-seq and genetic mapping identified candidate genes for branching habit in peanut. Theor Appl Genet. 2022; 135:4457-68

[7]

Yoshihara T, Iino M. Identification of the Gravitropism-related Rice gene LAZY1 and elucidation of LAZY1-dependent and-independent gravity signaling pathways. Plant Cell Physiol. 2007; 48:678-88

[8]

Li L, Yang X, Cui S. et al. Construction of high-density genetic map and mapping quantitative trait loci for growth habit-related traits of Peanut (Arachis hypogaea L.). Front Plant Sci. 2019; 10:745

[9]

Song A, Su J, Wang H. et al. Analyses of a chromosome-scale genome assembly reveal the origin and evolution of cultivated chrysanthemum. Nat Commun. 2023; 14:2021

[10]

Chen J, Zhong J, Shi X. et al. Chrysanthemum yantaiense, a rare new species of Asteraceae from China. Phytotaxa. 2018; 374:92-6

[11]

Sun C, Chen FD, Teng NJ. et al. Interspecific hybrids between Chrysanthemum grandiflorum (Ramat.) Kitamura and C. Indicum (L.) des Moul. And their drought tolerance evaluation. Euphytica. 2010; 174:51-60

[12]

Nguyen TK, Lim J. Tools for chrysanthemum genetic research and breeding: is genotyping-by-sequencing (GBS) the best approach? Hortic Environ Biotechnol. 2019; 60:625-35

[13]

Zhang F, Chen S, Chen F. et al. SRAP-based mapping and QTL detection for inflorescence-related traits in chrysanthemum (Dendranthema morifolium). Mol Breed. 2011; 27:11-23

[14]

van Geest G, Bourke PM, Voorrips RE. et al. An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis. Theor Appl Genet. 2017; 130: 2527-41

[15]

Su J, Zhang F, Chong X. et al. Genome-wide association study identifies favorable SNP alleles and candidate genes for water-logging tolerance in chrysanthemums. Hortic Res. 2019; 6:21

[16]

Fan M, Gao Y, Wu Z. et al. Linkage map development by EST-SSR markers and QTL analysis for inflorescence and leaf traits in chrysanthemum (Chrysanthemum morifolium Ramat.). Plan The-ory. 2020; 9:1342

[17]

Song X, Xu Y, Gao K. et al. High-density genetic map construc-tion and identification of loci controlling flower-type traits in chrysanthemum (chrysanthemum × morifolium Ramat.). Hortic Res. 2020; 7:108

[18]

Wen X, Li J, Wang L. et al. The chrysanthemum lavandulifolium genome and the molecular mechanism underlying diverse capitulum types. Hortic Res. 2022;9:uhab022

[19]

Song C, Liu Y, Song A. et al. The chrysanthemum nankingense genome provides insights into the evolution and diversifica-tion of chrysanthemum flowers and medicinal traits. Mol Plant. 2018; 11:1482-91

[20]

Hirakawa H, Sumitomo K, Hisamatsu T. et al. De novo whole-genome assembly in chrysanthemum seticuspe, a model species of chrysanthemums, and its application to genetic and gene discovery analysis. DNA Res. 2019; 26:195-203

[21]

van Kaauwen M, Kodde L. et al. De novo whole-genome assembly of Chrysanthemum makinoi, a key wild chrysan-themum. G3 (Bethesda). 2022;12:jkab358

[22]

Hou ZW, Yang S, He W. et al. The haplotype-resolved genome of diploid Chrysanthemum indicum unveils new acacetin synthases genes and their evolutionary history. Plant J. 2024; 119:1336-52

[23]

Finlayson SA, Krishnareddy SR, Kebrom TH. et al. Phytochrome regulation of branching in Arabidopsis. Plant Physiol. 2010; 152: 1914-27

[24]

Ikeuchi M, Iwase A, Rymen B. et al. Wounding triggers callus formation via dynamic hormonal and transcriptional changes. Plant Physiol. 2017; 175:1158-74

[25]

Yang G, Li L, Wei M. et al. SmMYB113 is a key transcrip-tion factor responsible for compositional variation of antho-cyanin and color diversity among eggplant peels. Front Plant Sci. 2022; 13:843996

[26]

Wang X, Chai X, Gao B. et al. Multi-omics analysis reveals the mechanism of bHLH130 responding to low-nitrogen stress of apple rootstock. Plant Physiol. 2023; 191:1305-23

[27]

Su J, Li C, Ou X. et al. CmWAT6.1, mined by high-density genetic map-based QTL mapping, enhances waterlogging tolerance in chrysanthemum. Environ Exp Bot. 2024; 219:105612

[28]

Zheng T, Li P, Zhuo X. et al. The chromosome-level genome provides insight into the molecular mechanism underlying the tortuous-branch phenotype of Prunus mume. New Phytol. 2022; 235:141-56

[29]

Zhou Y, Ju Y, Chi X. et al. Three CYCDs positively regulate plant height of crape myrtle by increasing cell division. Sci Hortic. 2023; 315:111954

[30]

Jiang C, Zeng ZB. Multiple trait analysis of genetic mapping for quantitative trait loci. Genetics. 1995; 140:1111-27

[31]

Qi P, Eudy D, Schnable JC. et al.High density genetic maps of seashore Paspalum using genotyping-by-sequencing and their relationship to the sorghum bicolor genome. Sci Rep. 2019; 9:12183

[32]

Golan A, Tepper M, Soudry E. et al. Cytokinin, acting through ethylene, restores gravitropism to Arabidopsis seedlings grown under red light. Plant Physiol. 1996; 112:901-4

[33]

Muday GK. Auxins and tropisms. J Plant Growth Regul. 2001; 20: 226-43

[34]

Zhang H, Li X, Sang D. et al. PROG 1 acts upstream of LAZY1 to regulate rice tiller angle as a repressor. Crop J. 2023; 11:386-93

[35]

Liu B. SEA: A Software Package of Segregation Analysis of Quan-titative Traits in Plants. Master’s thesis. In: Nanjing Agricultural University, 2013

[36]

Li S, Zheng T, Zhuo X. et al. Transcriptome profiles reveal that gibberellin-related genes regulate weeping traits in crape myrtle. Hortic Res. 2020; 7:54

[37]

Schneider CA, Rasband WS, Eliceiri KW. NIH image to ImageJ: 25 years of image analysis. Nat Methods. 2012; 9:671-5

[38]

Qi P, Gimode D, Saha D. et al. UGbS-flex, a novel bioinformatics pipeline for imputation-free SNP discovery in polyploids without a reference genome: finger millet as a case study. BMC Plant Biol. 2018; 18:117

[39]

McKenna A, Hanna M, Banks E. et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20:1297-303

[40]

Wu Y, Bhat PR, Close TJ. et al. Efficient and accurate construction of genetic linkage maps from the minimum spanning tree of a graph. PLoS Genet. 2008; 4:e1000212

[41]

Lander ES, Green P, Abrahamson J. et al. MAPMAKER: an inter-active computer package for constructing primary genetic link-age maps of experimental and natural populations. Genomics. 1987; 1:174-81

[42]

Voorrips RE. MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered. 2002; 93:77-8

[43]

Silva LDCE, Wang S, Zeng Z. Composite interval mapping and multiple interval mapping: procedures and guidelines for using windows QTL cartographer. Methods Mol Biol. 2012; 871:75-119

[44]

Floková K, Tarkowská D, Miersch O. et al. UHPLC-MS/MS based target profiling of stress-induced phytohormones. Phytochem-istry. 2014; 105:147-57

[45]

Li Y, Zhou C, Yan X. et al. Simultaneous analysis of ten phy-tohormones in Sargassum horneri by high-performance liq-uid chromatography with electrospray ionization tandem mass spectrometry. J Sep Sci. 2016; 39:1804-13

[46]

Šimura J, Antoniadi I, Široká J. et al. Plant Hormonomics: multiple Phytohormone profiling by targeted metabolomics. Plant Physiol. 2018; 177:476-89

[47]

Luo Y, Zhang M, Liu Y. et al. Genetic variation in YIGE1 con-tributes to ear length and grain yield in maize. New Phytol. 2022; 234:513-26

[48]

Krzywinski M, Schein J, Birol ˙I. et al. Circos: an information aes-thetic for comparative genomics. Genome Res. 2009; 19:1639-45

[49]

Ye J, Wang C, Liu Y. et al. CGD: a multi-omics database for Chrysanthemum genomic and biological research. Hortic Res. 2024;11:uhae238

[50]

Li X, Yang Y, Ahmad S. et al. Selection of optimal reference genes for qRT-PCR analysis of shoot development and gravire-sponse in prostrate and erect chrysanthemums. PLoS One. 2019; 14:e0225241

[51]

Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCt method. Methods. 2001; 25:402-8

[52]

Weigel D, Glazebrook J. Transformation of agrobacterium using the freeze-thaw method. CSH Protoc. 2006;2006:pdb.prot4666

PDF (1920KB)

263

Accesses

0

Citation

Detail

Sections
Recommended

/